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Multi robot collision avoidance in a shared workspace
DOI:10.1007/s10514-018-9726-5.png)
摘要
En 中文
This paper presents a decentralised human-aware navigation algorithm for shared human-robot work-spaces based on the velocity obstacles paradigm. By extending our previous work on collision avoidance, we are able to include and avoid static and dynamic obstacles, no matter whether they are induced by other robots and humans passing through. Using various cost maps and Monte Carlo sampling with different cost factors accounting for humans and robots, the approach allows human workers to use the same navigation space as robots. It does not rely on any external positioning sensors and shows its feasibility even in densely packed environments.
Keyword:
Collision avoidance
Shared-workspace
Velocity obstacles
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4.3
论文数:
1.7K
被引数:
5.0K
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Does it take older adults longer than younger adults to perceptually segregate a speech target from a background masker?在感知上将语音目标与背景掩蔽器隔离开来是否需要老年人比年轻人更长的时间?

